An Optimizing Technique for Weighted Page Rank with K-Means Clustering

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
Clustering is an essential task in data mining process which is used for the purpose to make groups or clusters of the given data set based on the similarity between them. This paper is intended to give the introduction about K-means clustering and its algorithm. The experimental results of K-means clustering and its performance in case of execution time are discussed here. But there are certain limitations in K-means clustering algorithm such as it takes more time for execution. So in order to reduce the execution time the authors are using the weighted page rank with k means clustering and also shown that how clustering is performed in less execution time as compared to the traditional method.
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